Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)

East Kalimantan Province is planned as the new national capital city (IKN). Forest and land fires occur regularly every year and their frequency is increasing, especially during the dry season. This research uses secondary data, namely hotspot data. Hotspot data was obtained from the results of the...

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Main Authors: Rosalina Kumalawati, Astinana Yuliarti, Jany Tri Raharjo, Rijanta Rijanta, Ari Susanti, Erlis Saputra, Puput Wahyu Budiman, Rahmat Aris Pratomo, Karnanto Hendra Murliawan, Wisnu Putra Danarto, Ghinia Anastasia Muhtar, Rizki Nurita Anggraini
Format: Article
Language:Indonesian
Published: Diponegoro University 2023-12-01
Series:Jurnal Presipitasi
Subjects:
Online Access:https://ejournal.undip.ac.id/index.php/presipitasi/article/view/56555
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author Rosalina Kumalawati
Astinana Yuliarti
Jany Tri Raharjo
Rijanta Rijanta
Ari Susanti
Erlis Saputra
Puput Wahyu Budiman
Rahmat Aris Pratomo
Karnanto Hendra Murliawan
Wisnu Putra Danarto
Ghinia Anastasia Muhtar
Rizki Nurita Anggraini
author_facet Rosalina Kumalawati
Astinana Yuliarti
Jany Tri Raharjo
Rijanta Rijanta
Ari Susanti
Erlis Saputra
Puput Wahyu Budiman
Rahmat Aris Pratomo
Karnanto Hendra Murliawan
Wisnu Putra Danarto
Ghinia Anastasia Muhtar
Rizki Nurita Anggraini
author_sort Rosalina Kumalawati
collection DOAJ
description East Kalimantan Province is planned as the new national capital city (IKN). Forest and land fires occur regularly every year and their frequency is increasing, especially during the dry season. This research uses secondary data, namely hotspot data. Hotspot data was obtained from the results of the 2012-2022 S-NPP VIIRS image recording. Data analysis in this study used descriptive and statistical analysis. The results of processing and analysis of the distribution of hotspots are overlaid with administrative maps so that the distribution of hotspots in each district in the study area can be identified. The results of the study show that hotspots distribution from the 2012-2022 S-NPP VIIRS image recording in East Kalimantan Province is varies quite a bit in each district. The highest hotspots distribution is in Kutai Kartanegara Regency and the lowest is in Mahakam Ulu and Penajam Paser Utara Regency. The higher number of hotspots is the higher incidence for forest and land fires. The distribution of hotspots needs to be known because it can be a form of early detection and fire mitigation so that the negative impact of fires can be minimized.
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spelling doaj.art-b073a7c40f1943518f5eda9a508288c42024-02-27T06:57:41ZindDiponegoro UniversityJurnal Presipitasi1907-817X2023-12-0120369170310.14710/presipitasi.v20i3.691-70323117Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)Rosalina Kumalawati0Astinana Yuliarti1Jany Tri Raharjo2Rijanta Rijanta3Ari Susanti4Erlis Saputra5Puput Wahyu Budiman6Rahmat Aris Pratomo7Karnanto Hendra Murliawan8Wisnu Putra Danarto9Ghinia Anastasia Muhtar10Rizki Nurita Anggraini11Universitas Lambung Mangkurat, IndonesiaUniversitas Lambung Mangkurat, IndonesiaPeatland and Mangrove Restoration Agency of Republic of Indonesia, IndonesiaUniversitas Gajah Mada, IndonesiaUniversitas Gajah Mada, IndonesiaUniversitas Gajah Mada, IndonesiaBadan Penelitian dan Pengembangan Daerah Provinsi Kalimantan Timur, IndonesiaInstitut Teknologi Kalimantan, IndonesiaNational Land Agency, IndonesiaUniversitas Lambung Mangkurat, IndonesiaUniversitas Lambung Mangkurat, IndonesiaUniversitas Lambung Mangkurat, IndonesiaEast Kalimantan Province is planned as the new national capital city (IKN). Forest and land fires occur regularly every year and their frequency is increasing, especially during the dry season. This research uses secondary data, namely hotspot data. Hotspot data was obtained from the results of the 2012-2022 S-NPP VIIRS image recording. Data analysis in this study used descriptive and statistical analysis. The results of processing and analysis of the distribution of hotspots are overlaid with administrative maps so that the distribution of hotspots in each district in the study area can be identified. The results of the study show that hotspots distribution from the 2012-2022 S-NPP VIIRS image recording in East Kalimantan Province is varies quite a bit in each district. The highest hotspots distribution is in Kutai Kartanegara Regency and the lowest is in Mahakam Ulu and Penajam Paser Utara Regency. The higher number of hotspots is the higher incidence for forest and land fires. The distribution of hotspots needs to be known because it can be a form of early detection and fire mitigation so that the negative impact of fires can be minimized.https://ejournal.undip.ac.id/index.php/presipitasi/article/view/56555hotspot distributions-npp viirsindicatorsforestland fires.
spellingShingle Rosalina Kumalawati
Astinana Yuliarti
Jany Tri Raharjo
Rijanta Rijanta
Ari Susanti
Erlis Saputra
Puput Wahyu Budiman
Rahmat Aris Pratomo
Karnanto Hendra Murliawan
Wisnu Putra Danarto
Ghinia Anastasia Muhtar
Rizki Nurita Anggraini
Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
Jurnal Presipitasi
hotspot distribution
s-npp viirs
indicators
forest
land fires.
title Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
title_full Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
title_fullStr Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
title_full_unstemmed Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
title_short Hotspot Distribution Analysis as Forest and Land Fire Indicators in the New National Capital City (IKN)
title_sort hotspot distribution analysis as forest and land fire indicators in the new national capital city ikn
topic hotspot distribution
s-npp viirs
indicators
forest
land fires.
url https://ejournal.undip.ac.id/index.php/presipitasi/article/view/56555
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